The 9th International Workshop on Natural Language Processing for Social Media (SocialNLP) 2021 In conjunction with TheWebConf 2021 @ April 19/20, 2021, Ljubljana, Slovenia. Website: https://sites.google.com/site/socialnlp2021/ ****** About SocialNLP 2021 ****** With the rapid growth of social networks and Web 2.0 services (e.g. Facebook and Twitter), being able to process data come from such platforms has gained much attention in recent years. SocialNLP is a new inter-disciplinary area of natural language processing (NLP) and social computing. We consider three plausible directions of SocialNLP: (1) addressing issues in social computing using NLP techniques; (2) solving NLP problems using information from social networks or social media; and (3) handling new problems related to both social computing and natural language processing. Several challenges are foreseeable in SocialNLP. First, the message lengths on social media services are usually short (e.g., 140 characters per tweet in Twitter) and thus it is difficult to apply traditional NLP approaches directly. Second, social media contains heterogeneous social information (e.g., tags, friends, followers, endorsements, profiles, and retweets) that should be considered together with the contents for better quality of analysis. Finally, microblogs and the social media contents always involve the interactions among multiple persons with slangs and jargons, and usually require special techniques to distill reasonable information and discover useful knowledge. To encourage research in the area of SocialNLP, we have organized a SocialNLP SIG-group in AFNLP since 2012 and made it first a yearly now twice a year based workshop series. Through this workshop, we provide a platform for research outcome presentations and head-to-head discussions in the area of SocialNLP, with the hope to combine the insight and experience of prominent researchers from both NLP and social computing fields to jointly contribute to this area. ****** Topics ****** Topics of interests for the workshop include, but are not limited to: Content analysis on Social Media - Concept-level sentiment analysis - Summarization of posts/replies on social media - Name entity Recognition on Social media - Relationship extraction on social media - Entity resolution for social media - Search, Indexing, and Evaluation on Social Web - Improving Speech Recognition using Social Media Content - Multilingual and Language specific Information Retrieval on Social Web - Natural language processing on Web 2.0 Folksonomy and Social Tagging - Trend analysis on Wikipedia - Trustworthiness analysis on Wikipedia - Human computing for social-media corpus generation - Social structure and position analysis using Microblog content - Trust and Privacy analysis in social contexts - Community detection using blogs or Microblog content - Sentiment and Opinion Analysis on Social Media Big social data analysis - Lexical semantic resources, corpora and annotations of social media for sentiment analysis - Opinion retrieval, extraction, classification, tracking and summarization - Domain specific sentiment analysis and model adaptation Emotion detection - Sentiment analysis for automatic public opinion poll and surveys of user satisfaction - Improvement of NLP tasks using subjectivity and/or sentiment analysis on social platform - Sentiment analysis and human computer interface on social platform - Real-world sentiment applications and systems on social platform - Disaster Management Using Social Media Modeling global events or human activities based on social media texts - Identification and geo-location of social media content - Social-based web platform for disaster management - Disaster or disease prediction and forecasting - Resource allocation using social media - Monitoring emergency responses among social crowds - Analyzing the diffusion of emergent information - Exploiting social media for crisis response and search and rescue activities - Issues on COVID-19 in social media - Information Disorder on Social Media Fake news detection on short texts - Cyberbullying detection - Hate speech detection - Clickbait detection - Malicious account detection - Robust misinformation detection - Fight again machine-generated fake messages - Multi-modal fake message detection - Spread prediction of disinformation - Explainable AI for information disorder ****** Paper Submission ****** SocialNLP review is double-blind. Therefore, please anonymize your submission: do not put the au-thor(s) names or affiliation(s) at the start of the paper, and do not include funding or other acknowl-edgments in papers submitted for review. In addition to regular paper, we call for DATA PAPER this year. A data paper should include the details of the created dataset and an experiment illustrating how to use it. Authors should note it as a data paper using the author field and submit at least partial data as accompanied materials. The created dataset should be able to be downloaded or acquired through an application process freely. If the data paper is accepted, we will list the link for accessing the dataset in the SocialNLP website. Note that the review for data papers is also double-blind and it is authors' re-sponsibility to avoid revealing their identities. Papers submitted to this workshop must not have been accepted for publication elsewhere or be under review for another workshop, conference or journal. Papers should be written in English. Each submis-sion will be evaluated by at least 3 program committee members. For SocialNLP@TheWebConf 2021, the workshop papers will be published in ACM Proceedings. To pursue high quality submission, we will have a best paper award of SocialNLP 2021 for both venues. The selection process will depend on not only the review comments/ratings, but also the quality of paper that is rated by paper authors. Selected, expanded versions of papers presented at the workshop will be published in two follow-on Special Issues of Springer Journal of Information Science and Engineering (JISE) and the International Journal of Computational Linguistics and Chinese Language Processing (IJCLCLP). ****** Submissions Details ****** SocialNLP @ TheWebConf 2021 - Page Limit: Regular papers: 8 pages, Data papers: 5 pages (both includes references) - Template: ACM Format (sigconf) http://www.acm.org/publications/proceedings-template - Submission Site: EasyChair Platform https://easychair.org/conferences/?conf=socialnlp2021 ****** Important Dates ****** SocialNLP @ TheWebConf 2021 - Submission Deadline: January 18, 2021 (extended) - Author notification: January 27, 2021 - Camera-ready Submission: January 31, 2021 - Workshop Date: April 19/20, 2021 ****** Organizers ****** Lun-Wei Ku, Academia Sinica, Taiwan Cheng-Te Li, National Cheng Kung University, Taiwan For other details, please visit our website! https://sites.google.com/site/socialnlp2021/ We are looking forward to seeing you in SocialNLP 2021!